Articles by nivangio

Improving Adaboosting with decision stumps in R

March 28, 2016 | nivangio

Adaboosting is proven to be one of the most effective class prediction algorithms. It mainly consists of an ensemble simpler models (known as “weak learners”) that, although not very effective individually, are very performant combined. The process by which these … Continue reading → [Read more...]

From JSON to Tables

May 15, 2015 | nivangio

“First things first”. Tautological, always true. However, sometimes some data scientists seem to ignore this: you can think of using the most sophisticated and trendy algorithm, come up with brilliant ideas, imagine the most creative visualizations but, if you do not know … Continue reading → [Read more...]

Quick guide to parallel R with snow

January 10, 2014 | nivangio

Probably, the most common complains against R are related to its speed issues, especially when handling a high volume of information. This is, in principle, true, and relies partly on the fact that R does not run parallely…. unless you … Continue reading → [Read more...]

Dashboards in R with Shiny and GoogleVis

August 2, 2013 | nivangio

Previously on this post, I introduced limitedly some features of the Shiny package. However, I felt the need of doing a new post related to Dashboards due to many reasons: a) Shiny has changed most of its functions and the … Continue reading → [Read more...]

A new Sudoku Solver in R. Part 1

June 3, 2013 | nivangio

Sudoku is nowadays probably the most widespread puzzle game in the world. As such, it has an interesting variety of solving techniques, not just with paper and pencil but also with computers. Of course, I am not the first one … Continue reading → [Read more...]

Social Media Monitoring tools in R with just a few lines

February 21, 2013 | nivangio

Social Media Analysis has become some kind of new obsession in Marketing. Every company wants to engage existing customers or attract new ones through this communication channel. Therefore, they hire designers, editors, community managers, etc. However, when it comes to … Continue reading → [Read more...]

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